Vancomycin-Modified Nanoparticles for Efficient Targeting and Preconcentration of Gram-Positive and Gram-Negative Bacteria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A series of vancomycin-modified nanoparticles were developed and employed in magnetic confinement assays to isolate a variety of Gram-positive and Gram-negative bacteria from aqueous solution. We determined that the orientation/architecture of vancomycin on the surface of the nanoparticles and the overall surface coverage is critical in mediating fast and effective interactions between the nanoparticle and the pathogen cell wall surface and only one orientation/architecture in a series of modified nanoparticles leads to the efficient and reproducible capture of several important pathogenic bacteria. Interestingly, as the nanoparticles increase in diameter (from approximately 50 to 2800 nm), it is necessary to incorporate a long linker between the nanoparticle surface and the vancomycin moiety in order for the surface bound probe to efficiently confine Gram-positive bacteria. Finally, we also determined that the time required for efficient labeling and subsequent magnetic confinement significantly decreases as the size of the nanoparticle and the vancomycin surface coverage on the nanoparticle increases. As disease detection technologies transition to "lab-on-a-chip" based platforms it is necessary to develop strategies to effectively and inexpensively preconcentrate cells from large volume to volumes more amenable to these types of microfluidic devices. These small molecule-modified superparamagnetic nanoparticles can provide a means by which this can be accomplished.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it